جست‌وجوی استاد و پژوهشگر

• Computational Imaging
• Artificial Intelligence
• Inverse Problems
• +۷ مورد دیگر

Aviad Levis is an Assistant Professor at the University of Toronto's Department of Computer Science, starting July 2024. He is affiliated with the Dunlap Astronomical Data Science and Technology Group (DADDAA) and collaborates with the Toronto Computational Imaging Group alongside Kyros Kutulakos and David Lindell. Previously, he was a postdoctoral researcher at Caltech's Computing + Mathematical Sciences department under Katherine Bouman, working with the Event Horizon Telescope (EHT) collaboration. PhD in Electrical Engineering from the Technion (supervised by Yoav Schechner) Research focuses on computational imaging tools at the intersection of AI and physics Develops algorithms for 3D tomography in both cloud physics and black hole imaging Recipient of ERC Synergy grant for CloudCT space mission His research spans two major domains: Computational Climate Imaging through cloud tomography to improve climate models, and Black Hole Imaging with the EHT collaboration. He pioneered methodologies for 3D cloud structure recovery using scattered sunlight and contributes to dynamic 3D reconstructions of black hole environments. Current interests include non-linear inverse problems, equation discovery from data, and ML-accelerated scientific simulations. Recent publications highlight advancements in atmospheric tomography and black hole emission modeling. His work on CloudCT involves coordinated nano-satellites for 3D cloud imaging, while EHT contributions include first images of Sagittarius A* (2022) and ongoing development of algorithms for 3D structure recovery. The ERC Synergy grant underscores his impact on climate imaging technology. Personal Website Work Email

Noah Rubinمشاهده پروفایل

استادیار

• Applied Optics
• Photonics
• Diffractive Optics
• +۴ مورد دیگر

Noah Rubin is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California San Diego, joining in 2024. His research focuses on applied optics and photonics, particularly in diffractive optics, nanophotonics, and polarization optics. He investigates novel methods to control light polarization for applications in environmental and astrophysical remote sensing, imaging, and instrumentation. Rubin's work bridges fundamental optics and practical systems design, with potential for real-world impact in fields like astronomy and aerospace. Rubin holds a Ph.D. in Applied Physics from Harvard University (2020) and a BA in Physics from the University of Pennsylvania (2015). His postdoctoral research at Harvard explored metasurface-based devices for polarized light control, leading to an early-stage consumer product and NASA-related instrumentation advancements. He was named in Electro Optics Magazine’s 'Photonics 100' list in 2024, and his team received a NASA Instrument Incubator Program award in collaboration with the University of Arizona and Jet Propulsion Laboratory. Rubin’s research group at UCSD explores polarization-sensitive diffractive optics, compact polarization cameras, and metasurface-enabled technologies for NASA-relevant sensing applications. Notable achievements include cover features in Physics Today and fellowship awards for team members like Karl, a Ph.D. student supported by NASA’s FINESST program. His lab emphasizes interdisciplinary innovation, combining theoretical optics with experimental prototyping and industry partnerships.

Irina Marinovمشاهده پروفایل

دانشیار

• Climate Science
• Oceanography
• Biogeochemical Cycles
• +۵ مورد دیگر

Irina Marinov is an Associate Professor in the Department of Earth and Environmental Sciences at the University of Pennsylvania. She specializes in climate science, focusing on the critical role of oceans in global climate dynamics and carbon cycling. Her research integrates Earth system models and satellite data to study phenomena such as Southern Ocean convection, phytoplankton ecology, and the impact of climate change on oceanic processes. Marinov’s research spans biogeochemical cycles, marine ecology, and climate modeling, with a particular emphasis on Southern Ocean dynamics. She explores teleconnections between tropical atmospheric systems and Southern Ocean processes, polynya variability, and the use of satellite data to understand phytoplankton biomass and carbon distribution. Her recent publications (2024-2025) highlight the Southern Ocean’s influence on multidecadal climate variability, nonlinear CO2 dynamics, and the development of the GLOBAL CLIMATE SECURITY ATLAS. These works bridge climate modeling, satellite remote sensing, and policy applications. Scientific Awards: Undergraduate Research Mentorship award First woman to be tenured in the Earth and Environmental Sciences Department at Penn

• Wind Geomorphology
• Mineral Dust Dynamics
• Climate Change Impacts
• +۳ مورد دیگر

James King is an Associate Professor in the Department of Geography at the University of Montreal, specializing in geomorphology and aeolian processes. His research focuses on wind erosion, mineral dust dynamics, and their impacts on climate and ecosystems, particularly in high-latitude regions like the Yukon and Namibia. He holds a BSc in Earth surface sciences from the University of Guelph and a PhD in Physical Geography from an unmentioned institution, with postdoctoral training in climatology. Key research areas include dust emission climatology, glacial retreat impacts, and aerosol-climate interactions. Over 20 ongoing and completed projects, including dust dynamics in proglacial valleys and high-latitude dust sources, are funded by CRSNG, FCI, and international collaborations. King supervises graduate students on topics like dust deposition effects on ecosystems and remote sensing applications. His work integrates field measurements, remote sensing, and climate modeling to advance understanding of dust processes in arid and semi-arid environments. He collaborates with global teams, such as the Hominin Dispersals Research Group, and contributes to initiatives like the Changing Atmospheric Chemistry, Transport, and Emissions (ACTE) project.

• Machine Learning
• Computer Vision
• Robotics
• +۷ مورد دیگر

Raquel Urtasun is a Full Professor in the Department of Computer Science at the University of Toronto and a co-founder of the Vector Institute for AI. She is also the Founder and CEO of Waabi, an autonomous vehicle company. Previously, she was Chief Scientist and Head of R&D at Uber ATG (2017–2021) and held faculty positions at the Toyota Technological Institute at Chicago (TTIC) and as a visiting professor at ETH Zurich. Her research spans machine learning, computer vision, robotics, and AI with a strong focus on autonomous driving and 3D perception. Education: Bachelor's degree, Universidad Pública de Navarra, 2000 Ph.D., Computer Science, École Polytechnique Fédérale de Lausanne (EPFL), 2006 Postdoctoral studies, MIT and UC Berkeley Raquel Urtasun's research focuses on developing AI systems for self-driving cars, emphasizing efficient perception using minimal sensors. Her work includes 3D scene understanding, stereo vision, optical flow, semantic segmentation, and object detection. She has developed the KITTI benchmark suite, widely used in autonomous driving research. Her lab is an NVIDIA NVAIL lab, reflecting its leadership in AI innovation. Her recent publications show a consistent trend in deep learning for visual perception, particularly in stereo matching, optical flow, 3D object detection, and semantic segmentation. These works integrate deep neural networks with structured models like CRFs and MRFs, pushing the boundaries of accuracy and efficiency in scene understanding for autonomous systems. Scientific Awards: NSERC E.W.R. Steacie Fellowship NVIDIA Pioneers of AI Award Google Faculty Research Awards (multiple) Amazon Faculty Research Award Connaught New Researcher Award Fallona Family Research Award Best Paper Runner Up at CVPR 2013 and 2017 UPNA Alumni Award Chatelaine 2018 Woman of the Year Adweek 2018 Toronto's Top Influencers Urtasun has advised numerous PhD and Master’s students, many of whom now hold faculty or research scientist positions at institutions like UIUC, NYU, UBC, MIT, and companies including Google, Amazon, NVIDIA, and Apple. She has secured significant research grants from NSERC, Google, Amazon, and NVIDIA. Her leadership extends to organizing workshops and serving as Area Chair and Program Chair at top conferences like CVPR, ICML, and NeurIPS. Labs and Teams: She leads a research group at the University of Toronto focused on AI for autonomous systems. Her team has been recognized as an NVIDIA NVAIL lab, and she continues to mentor students and postdocs working on cutting-edge problems in robotics and machine learning, both at UofT and through her company Waabi.

Rodney Weberمشاهده پروفایل

استاد

• Atmospheric Chemistry
• Aerosols & Clouds
• Air Quality
• +۳ مورد دیگر

Dr. Rodney Weber is a Professor in the School of Earth & Atmospheric Sciences at Georgia Institute of Technology, part of the College of Sciences. His research focuses on atmospheric aerosols, urban air quality, and particle formation mechanisms. He holds a Ph.D. (1995) and M.S. (1991) in Mechanical Engineering from the University of Minnesota, and a B.S. (1987) from the University of Waterloo. Key research interests include atmospheric aerosol sources and processing, new particle formation via homogeneous nucleation, and aerosol growth processes. He develops novel instrumentation, such as the Particle Into Liquid Sampler (PILS), and leads field studies like the ALPACA project in Fairbanks, Alaska. His work bridges laboratory experiments and real-world atmospheric measurements. Dr. Weber has received awards including the Cullen-Peck Faculty Fellow Award (2007), Whitby Award (2005), and NASA Global Change Fellowship. His recent publications (2024–2025) address biomass burning plumes, urban pollution dynamics, and aerosol chemistry in cold climates. He collaborates on global initiatives like the NASA Atmospheric Tomography (ATom) mission and FIREX-AQ campaigns. His lab (ES&T 2107/2115) focuses on aerosol optical properties, reactive oxygen species in particulate matter, and the health effects of pollution. Research highlights include quantifying sulfur chemistry in Fairbanks and assessing oxidative potential of PM2.5 in urban environments.

W. Hong Yeoمشاهده پروفایل

استاد

• Flexible Electronics
• Human Augmentation
• Micro and Nano Device Engineering
• +۶ مورد دیگر

W. Hong Yeo is a Professor in the Woodruff School of Mechanical Engineering and Program Faculty in Bioengineering at the Georgia Institute of Technology, where he also directs the WISH Center. He holds adjunct appointments in the Wallace H. Coulter Department of Biomedical Engineering. Previously, he was an Assistant Professor at Virginia Commonwealth University (2014-2016) and a postdoctoral fellow at the University of Illinois Urbana-Champaign's Beckman Institute. Dr. Yeo's research integrates nanomechanics, soft materials, and nano-microfabrication to develop bio-interfaced systems. Key areas include: Flexible Bioelectronics : Wearable/implantable sensors for health monitoring Human-Machine Interfaces : Neural prosthetics and soft robotics Translational Nanoengineering : Nanoparticle biosensing and diagnostics His publications (2023-2025) demonstrate strong focus on wireless health technologies, including multi-modal wearable systems, implantable sensors for cardiovascular/neurological monitoring, and AI-integrated diagnostics. Trends show increasing emphasis on closed-loop therapeutic systems and scalable manufacturing. Awards & Recognition : BMES Innovation and Career Development Award Virginia Commercialization Award Blavatnik Award Nominee NSF Summer Institute Fellowship Research funding sources include MEDARVA Foundation, NIH, DARPA, and industry partners like CooperVision. He leads the Center for Human-Centric Interfaces & Engineering , developing next-generation bio-interfaced systems.

Don Towsleyمشاهده پروفایل

استاد

• Network Science
• Network Measurement
• Network Modeling
• +۴ مورد دیگر

Don Towsley is a Distinguished University Professor in the Department of Computer Science at the University of Massachusetts Amherst, within the College of Information and Computer Sciences. He has held visiting positions at AT&T Labs, IBM Research, INRIA, Microsoft Research Cambridge, and the University of Paris 6. He earned a B.A. in Physics and a Ph.D. in Computer Science from the University of Texas. Prof. Towsley's research spans network science, measurement, modeling, and analysis, with recent emphasis on quantum networking and wireless security. His work addresses foundational challenges in network tomography, entanglement distribution, and quantum communication protocols, contributing to efficient and secure next-generation networks. Analysis of his 2022-2025 publications reveals a dominant focus on quantum networking—including quantum internet architecture, entanglement distribution, and tomography—alongside continued contributions in classical networking areas such as DDoS detection and edge computing. His exceptional contributions have been recognized with numerous prestigious awards: 2007 IEEE Koji Kobayashi Computer and Communications Award 2007 ACM SIGMETRICS Achievement Award 2008 ACM SIGCOMM Award 2011 INFOCOM Achievement Award 1999 IEEE Communications Society William Bennett Award 2008 ACM SIGCOMM Test of Time Paper Award 2012 ACM SIGMETRICS Test of Time Award 2018 ACM MOBICOM Test of Time Award UMass Award for Outstanding Accomplishments in Research and Creative Activity University of Massachusetts Chancellor's Medal UMass Amherst Distinguished Graduate Mentor Award Outstanding Research Award from the College of Natural Science and Mathematics IBM Faculty Fellowship Award (twice) Fellow of the IEEE Fellow of the ACM Corresponding member of the Brazilian Academy of Sciences Prof. Towsley has mentored numerous graduate students, as evidenced by his Distinguished Graduate Mentor Award, and his research has been funded by significant grants including an NSF NeTS grant for quantum network design. He leads the Gaia research group at UMass Amherst, which has evolved from traditional networking research to pioneering quantum networking initiatives.

Laura L. Van Eerdمشاهده پروفایل

استاد

• Sustainable Soil Management
• Agriculture
• Cover Crops
• +۳ مورد دیگر

Dr. Laura L. Van Eerd is a Professor of Sustainable Soil Management at the University of Guelph Ridgetown Campus, affiliated with the School of Environmental Sciences. Her research focuses on biogeochemical cycling of nitrogen and carbon in agroecosystems, emphasizing cover crops, soil health, and sustainable agriculture. She holds a BSc (Env), MSc, and PhD from the University of Guelph. Her research addresses: (1) cover crop roles in soil health and productivity, (2) nitrogen use efficiency, and (3) mitigating environmental impacts of agricultural practices. Current projects include cover crop nitrogen losses, remote sensing for crop nitrogen deficiency, and pest control product environmental impacts. She has published over 50 peer-reviewed articles, including the 2018 Best Paper in the Canadian Journal of Plant Science. Education: BSc (Environmental Science), University of Guelph MSc, University of Guelph PhD, University of Guelph Her awards include recognition as one of Canada’s Influential Women in Agriculture (2020), the Dr. Ron Pitblado Teaching Excellence Award (2016), and the OAC Distinguished Extension Award (2011). Her work bridges research, teaching, and extension to support Ontario’s agricultural sector. Advising and grants: Laura leads research teams at Ridgetown Campus, focusing on vegetable production systems and sustainable soil management. Her grants include funding for cover crop nitrogen dynamics and soil health indicator studies. Labs/teams: Active in Ridgetown Campus’s agricultural research initiatives, collaborating with growers and government to develop practical solutions for soil health and environmental sustainability.

Matt Pritchardمشاهده پروفایل

استاد

• Volcanology
• Geodesy
• Remote Sensing
• +۴ مورد دیگر

Prof. Matt Pritchard is a Professor in Earth & Atmospheric Sciences at Cornell University, based at Snee Hall. His research focuses on volcanology, geodesy, and remote sensing, with a particular emphasis on using satellite data to monitor volcanic activity, deformation, and glacial interactions. He leads studies on global volcanic systems, including Indonesia's Semeru and Raung volcanoes, Chile's Cordón Caulle, and Bolivia's Uturuncu, applying techniques like InSAR, SAR, and thermal imaging. Key research interests include volcanic eruption dynamics, magma-hydrothermal systems, and the integration of multi-sensor datasets. He has contributed to developing tools like Hotspotter for automated volcanic thermal feature detection and has explored planetary volcanism (e.g., Venus). His work bridges geophysics, glaciology, and computational methods, addressing both Earth and extraterrestrial systems. Prof. Pritchard has received recognition such as the William Bowie Lecture (2022, 2023). His projects often involve international collaborations, including the CEOS Volcano Demonstrator initiative and the EarthDEM/ArcitcDEM projects. He also engages in geothermal energy research and seismic monitoring in Ithaca, NY.

Ehsan Azimiمشاهده پروفایل

استادیار

• Human-AI Interaction
• Extended Reality
• Robotics
• +۷ مورد دیگر

Ehsan Azimi is an Assistant Professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at the University of Arizona, where he is also a member of the Graduate Faculty. His research bridges human-AI interactive systems, extended reality, robotics, and human-centered design, with a strong focus on medical applications. His research interests lie in creating synergistic human-AI systems that enhance medical procedures through advanced technologies. Key areas include extended reality for surgical navigation , robotics in minimally invasive surgery , and intelligent user interfaces . His work has led to innovations in smart glasses calibration, intraocular robotic snakes, needle steering, and digital twins for surgical training, all aimed at improving precision, safety, and learning in medicine. The recent articles highlight a consistent trend in medical robotics , augmented reality in surgery , and human-robot collaboration . These works span from hardware development to AI-driven interfaces, emphasizing real-time interaction, user experience, and clinical applicability across disciplines like ophthalmology, otology, and surgical education. Scientific Awards: Siebel Scholar Provost Postdoctoral Fellowship Link Fellowship Ehsan actively mentors students and scholars in research projects, indicating a strong commitment to academic advising. While specific grant details are not listed, his patented technologies and publication record suggest successful funding and translational research outcomes. His work has been featured in Engineering Magazine and other media, reflecting its impact and innovation. His research is conducted within an interdisciplinary lab environment focused on human-centered AI and medical robotics, integrating expertise from computer science, engineering, and clinical medicine to develop next-generation surgical and training systems.

Aurora Maccaroneمشاهده پروفایل

پژوهشگر ارشد

• Single-Photon Imaging
• Underwater LiDAR
• Quantum Sensing
• +۴ مورد دیگر

Aurora Maccarone serves as an RAEng Research Fellow within the Institute of Photonics and Quantum Sciences at Heriot-Watt University's School of Engineering & Physical Sciences. Her work focuses on advanced photonics applications for challenging environments, particularly underwater and obscured conditions. Her research expertise spans: Single-photon LiDAR systems for underwater 3D imaging Photon-counting detector arrays for depth profiling Real-time reconstruction algorithms for obscurant-penetrating imaging Quantum sensing applications in marine environments Recent publications demonstrate consistent innovation in single-photon imaging techniques, with emphasis on underwater applications (2023-2024) and obscurant penetration (2022). Her work shows strong interdisciplinary connections between optical engineering, computational imaging, and environmental sensing. Key publications reveal growing impact in underwater LiDAR technology, with multiple high-citation papers on photon-efficient imaging systems. Dr. Maccarone actively supervises PhD students and has created significant research datasets. Her collaborations span international institutions, with notable contributions to sensor hardware development and computational imaging algorithms. Recent work shows increasing integration of machine learning techniques with traditional photon-counting approaches.

Markus A. Schmidtمشاهده پروفایل

استاد

• Photonics
• Fiber Optics
• Biophotonics
• +۸ مورد دیگر

Markus Schmidt is a Professor of Fiber Optics at Friedrich Schiller University Jena and serves as Head of the Research Department of Fiber Photonics at the Leibniz Institute for Photonic Technologies (IPHT), where he leads the Hybrid Fibers work group. He previously held a team leadership position at the Max Planck Institute for the Science of Light (2006–2012) and conducted research at Imperial College London (2011). His research integrates fiber optics and photonics for applications in biophotonics, optofluidics, plasmonics, and nonlinear optics. Key innovations include 3D nanoprinted holograms for remote focus control, liquid-core fibers for stable supercontinuum generation, and fiber-integrated platforms for nanorheology and quantum spectroscopy. His work bridges materials science and applied photonics , enabling advancements in telecommunications, environmental monitoring, and bioanalytics. Scientific awards and student mentorship details are not explicitly mentioned in the provided texts. His email is markus.schmidt@leibniz-ipht.de .

Mohsen Habibiمشاهده پروفایل

استادیار

• Additive Manufacturing
• Acoustic Holography
• Bioprinting
• +۵ مورد دیگر

Mohsen Habibi is an Assistant Professor at the University of California, Davis, leading the Advanced Manufacturing Lab (AML). His research focuses on Additive Manufacturing (AM), particularly pioneering Direct Sound Printing (DSP), an ultrasound-based technique for 3D printing via sonochemistry and thermochemistry. His work has been recognized with the David Dornfeld Manufacturing Vision Award (2024), NSF Blue Sky Competition win, and inclusion in Quebec Science magazine's top 10 discoveries of 2022. Before academia, Dr. Habibi worked as a senior manufacturing engineer at General Motors and mechanical designer at MDA (a space technology firm). He held roles as a research associate at Concordia University and a postdoctoral fellow at the University of British Columbia, collaborating with industries like Pratt & Whitney and MAL Inc. His research bridges acoustic physics, materials science, and biomedical engineering, emphasizing non-invasive applications such as in-situ tissue printing and remote polymerization. Research Highlights: His lab explores holographic DSP for complex patterns, minimally invasive medical applications, and sustainable 3D printing systems for underserved regions. Key areas include metamaterials, acoustic holography, and energy-efficient manufacturing. Awards & Recognition: David Dornfeld Manufacturing Vision Award (2024) NSF Blue Sky Competition Winner Quebec Science Magazine's Top 10 Discoveries (2022) Altmetric 99th percentile for DSP publication impact Lab Activities: The AML develops technologies like Remote Distance Printing (RDP) for inaccessible locations and Holographic DSP (HDSP) for multi-pattern fabrication. Projects include acoustic-matter interaction studies and CAD/CAM process optimization.

Markus Reichsteinمشاهده پروفایل

استاد

• Biogeochemistry
• Climate Science
• Ecosystem Ecology
• +۴ مورد دیگر

Markus Reichstein is a Professor for Global Geoecology at Friedrich Schiller University (FSU) Jena and Director of the Biogeochemical Integration Department at the Max Planck Institute for Biogeochemistry. His research focuses on ecosystem responses to climate variability, climate extremes, and the application of AI in Earth system science. He holds a PhD in Plant Ecology from the University of Bayreuth and has pioneered interdisciplinary approaches combining machine learning with environmental modeling. Key roles include leadership in the Michael-Stifel-Center Jena for Data-driven and Simulation Science and founding director of the ELLIS Unit Jena. He contributed to the IPCC Special Report on Climate Extremes and has received prestigious awards such as the Leibniz Prize. His work bridges ecology, hydrology, and atmospheric science, addressing critical global challenges like carbon cycle feedbacks and ecosystem resilience. Recent research emphasizes AI-driven early warning systems for climate risks, integrating observational data with mechanistic models. His team explores land-atmosphere interactions, soil-vegetation dynamics, and the impacts of climate extremes on societal systems. Notable projects include GartenDiv, a citizen science initiative for garden biodiversity, and advancements in global water cycle modeling using hybrid AI-physics frameworks. Awards include the Piers J. Sellers Award (2018), ERC Synergy Grant (2019), and Leibniz Prize (2020). He collaborates with international networks like ELLIS and Future Earth, advancing data-driven solutions for sustainability science.